Long-Term Scheduling and Power Control for Wirelessly Powered Cell-Free IoT
Long-Term Scheduling and Power Control for Wirelessly Powered Cell-Free IoT
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DOI：
10.1109/jiot.2020.3003646
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发表时间：
2020-04
影响因子：
10.6
通讯作者：
Xinhua Wang;Xiaodong Wang;A. Ashikhmin
中科院分区：
文献类型：
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作者：
Xinhua Wang;Xiaodong Wang;A. Ashikhmin
我们研究了无线供电的无蜂窝物联网（IoT）网络的长期调度和功率控制方案，该网络由分布式接入点（AP）和大量的传感器组成。在每个时隙中，传感器的子集被调度用于上行链路数据传输或下行链路功率传输。通过渐近分析，我们获得了封闭形式的表达式收获的能量和可实现的速率是独立的随机导频。然后，使用这些表达式，我们制定了一个长期的调度和功率控制问题，以最大限度地提高所有传感器之间的最小时间平均可实现速率，同时保持每个传感器的电池状态高于预定义的最低水平。使用李雅普诺夫优化，传输模式，活动的传感器集，和每个时隙的功率控制系数共同确定。最后，仿真结果验证了我们推导的封闭形式的表达式的准确性，并揭示了最小的时间平均可达速率显着提高所提出的方案相比，简单的贪婪传输方案。
We investigate the long-term scheduling and power control scheme for a wirelessly powered cell-free Internet-of-Things (IoT) network which consists of distributed access points (APs) and a large number of sensors. In each time slot, a subset of sensors is scheduled for uplink data transmission or downlink power transfer. Through asymptotic analysis, we obtain closed-form expressions for the harvested energy and the achievable rates that are independent of random pilots. Then, using these expressions, we formulate a long-term scheduling and power control problem to maximize the minimum time-average achievable rate among all sensors while maintaining the battery state of each sensor higher than a predefined minimum level. Using Lyapunov optimization, the transmission mode, the active sensor set, and the power control coefficients for each time slot are jointly determined. Finally, simulation results validate the accuracy of our derived closed-form expressions and reveal that the minimum time-average achievable rate is boosted significantly by the proposed scheme compared with the simple greedy transmission scheme.